Sense & Respond, Continuously learning our way to better outcomes
summary
Argues that modern software is continuous and must be judged by measurable outcomes not by “works as designed,” showing concrete cases: Tesla ships a charger-change in six days, Citymapper launches a bus when route data shows a gap, Instagram spawns private “flinstas,” Fender thrives where Gibson innovates wrongly. Warns of harms from optimizing engagement — Facebook in Myanmar, YouTube radicalization, Target outing pregnancies, Amazon recruiting bias — and promotes a fast learning loop and sense and respond practices. Worth watching for actionable examples and ethical tradeoffs.
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chapters (18)
- 0:00Start
- 2:513. IMPACT WAS LIMITED TO THE TECH-SAVVY
- 9:30WITH THIS AMAZING CAPABILITY COMES TREMENDOUS OPPORTUNITY
- 12:52OUTCOMES TELL US WHEN WE'VE DELIVERED CUSTOMER VALUE
- 15:12THE PROBLEM: WE CAN'T PREDICT BEHAVIOUR
- 17:11NEW BEHAVIOUR EMERGES THROUGH THE USE OF THE SYSTEMS WE BUILD
- 19:25WE CAN USE THE ABILITY TO LEARN CONTINUOUSLY TO MAKE OUR USERS MORE SUCCESSFUL
- 21:22BUT SOMETIMES WHAT SEEMS TRIVIAL ENDS UP CREATING UNINTENDED CONSEQUENCES
- 24:00IN THE NAME OF 'ENGAGEMENT...
- 25:47YouTube
- 27:44IN THE NAME OF EFFICIENCY'... IT CAN DISCRIMINATE...
- 29:51IN THE NAME OF CONVENIENCE'... IT CAN BE USED TO HURT PEOPLE...
- 32:17SOMETHING TO KEEP AN EYE ON...
- 33:01I JUST WANT TO WRITE CODE
- 33:53BUT WHAT WILL YOUR CODE BE USED TO DO?
- 34:52Goal-driven. Values guided. Measure both - Kim Goodwin
- 35:42WHAT CAN YOU DO?
- 36:283. USE THE SOFTWARE TO LEARN
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